Remote Senior AI Engineer - Gemini & Enterprise AI

Overseas; Córdoba; Remote; ARS 182,771,000 - 274,156,000; Full time

Benefits offered by this job

USD compensation

Bi-monthly pay

Paid time off

Job summary

Overseas is seeking a Senior Deployed AI Engineer (Gemini) to design, build, and deliver full‑stack AI products for enterprise clients remotely across Latin America. You will own front‑end through data pipelines, deploy on cloud, and ensure production readiness with cost, latency, and quality measures.

The role emphasizes deep Google AI stack experience, hands‑on Python and TypeScript development, and collaboration with international clients.

Qualifications

• 3–5 years software or data engineering experience with hands-on AI tools and development
• Strong hands-on experience with Google AI stack, Gemini models, Vertex AI, and production deployments on GCP
• Proficient in Python and TypeScript/JavaScript; experience building and consuming APIs
• Front-end development experience with React or similar frameworks and at least one backend framework
• Hands-on with RAG, embeddings, and vector search; familiarity with agentic frameworks such as Google ADK, LangGraph, or LangChain
• Excellent English communication skills (C1/C2) for daily collaboration with international clients
• Google Cloud certification is a differentiator; pursuing within two months is encouraged

Responsibilities

• Develop user-facing interfaces in TypeScript/React and backend services in Python or Node
• Implement agentic behavior including orchestration, tool calls, memory, and guardrails
• Build retrieval-augmented generation pipelines with ingestion, chunking, embeddings, and vector/hybrid search
• Design and build agents with Gemini models, Vertex AI, ADK, and Agent Engine
• Configure Gemini Enterprise features (Agent Designer, Inbox, sandboxes) for clients
• Connect Gemini Enterprise to client landscapes via connectors with governance and auditability
• Develop grounded applications with Vertex AI Search, RAG Engine, and BigQuery as data backbone
• Ensure cost, latency, and quality monitoring; write evaluation suites and tests
• Deploy on cloud infrastructure (GCP/AWS/Azure) and maintain data pipelines feeding AI systems
• Mentor junior engineers; contribute to accelerators and engineering standards

Skills

Python

TypeScript

JavaScript

React

APIs

RAG

Embeddings

Vector search

Education

Bachelor's or Master's in CS

Tools

Gemini Enterprise

Vertex AI

ADK

LangChain

Job description

Overseas is seeking a Senior Deployed AI Engineer (Gemini) to design, build, and deliver full‑stack AI products for enterprise clients remotely across Latin America. You will own front‑end through data pipelines, deploy on cloud, and ensure production readiness with cost, latency, and quality measures.

The role emphasizes deep Google AI stack experience, hands‑on Python and TypeScript development, and collaboration with international clients.